code: def setUp(self):
      x_shape = (self.batch_size, self.in_size)
      self.x = numpy.random.uniform(-1, 1, x_shape).astype(
          numpy.float32
      )
      self.t = numpy.random.randint(
          self.n_vocab, size=self.batch_size
      ).astype(numpy.int32)
      w_shape = (self.n_vocab, self.in_size)
      self.W = numpy.random.uniform(-1, 1, w_shape).astype(
          numpy.float32
      )
      self.samples = (
          numpy.random.randint(
              self.n_vocab, size=self.batch_size * self.n_samples
          )
          .astype(numpy.int32)
          .reshape((self.batch_size, self.n_samples))
      )
      if self.reduce == "no":
          self.gy = numpy.random.uniform(
              -1, 1, (self.batch_size,)
          ).astype(numpy.float32)
      else:
          self.gy = numpy.random.uniform(-1, 1, ()).astype(
              numpy.float32
          )
  
file_path: chainer/tests/chainer_tests/functions_tests/loss_tests/test_black_out.py
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import condition
label_desc: Use image node_id 1 for calling the TestBlackOut obj's underlying member method code with example usage: obj.setUp() without return types